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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 2853
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lihood
    -0.92
    anguages
    -0.70
    icago
    -0.69
    Fine
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    lopp
    -0.66
     Lank
    -0.65
     Cheap
    -0.62
     Hollow
    -0.62
     Flavoring
    -0.61
    IBLE
    -0.60
    POSITIVE LOGITS
     registry
    1.27
     Registry
    0.94
     hive
    0.74
    archs
    0.74
     bom
    0.73
     trademark
    0.72
    istry
    0.72
     regist
    0.72
     database
    0.70
     backlog
    0.67
    Activations Density 0.008%

    No Known Activations